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yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

get_config

Retrieve current configuration settings from Apache Airflow, enabling efficient system management and customization by specifying optional sections.

Instructions

Get current configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNo

Implementation Reference

  • The handler function for the 'get_config' tool. It accepts an optional 'section' parameter, calls the Airflow ConfigApi.get_config, and returns the response as MCP TextContent.
    async def get_config( section: Optional[str] = None, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: # Build parameters dictionary kwargs: Dict[str, Any] = {} if section is not None: kwargs["section"] = section response = config_api.get_config(**kwargs) return [types.TextContent(type="text", text=str(response.to_dict()))]
  • The get_all_functions utility that registers the 'get_config' tool by providing its (function, name, description, read_only) tuple.
    def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (get_config, "get_config", "Get current configuration", True), (get_value, "get_value", "Get a specific option from configuration", True), ]
  • src/main.py:24-26 (registration)
    Mapping of APIType.CONFIG to the get_config_functions for dynamic tool registration in main().
    APITYPE_TO_FUNCTIONS = { APIType.CONFIG: get_config_functions, APIType.CONNECTION: get_connection_functions,
  • src/main.py:95-97 (registration)
    The loop that adds tools to the MCP app using the functions from get_all_functions(), including 'get_config'.
    for func, name, description, *_ in functions: app.add_tool(Tool.from_function(func, name=name, description=description))

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